From the retina to action: Understanding visual processing

Laurent Perrinet

Licence Sciences & Humanité, 3/4/2019

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement n°713750. Also, it has been carried out with the financial support of the Regional Council of Provence-Alpes-Côte d'Azur and with the financial support of the A*MIDEX (n°ANR-11-IDEX-0001-02). This work was granted access to the HPC resources of Aix-Marseille Université financed by the project Equip@Meso (ANR-10-EQPX-29-01) of the program "Investissements d’Avenir".

Churchland, P. S. & Sejnowski, T. J. (1992) The computational brain. Cambridge, MA: MIT Press.

From the retina to action: Levels of modeling

(see this viperlib page)

(see this viperlib page)

LP, Adams and Friston (2015) Biological Cybernetics

LP, Adams and Friston (2015) Biological Cybernetics

Outline

  1. From the retina to action: Levels of modeling
  2. Sparse coding in Neurophysiology and neural processing

  3. Modeling Spiking Neural Networks
  4. A model of Sparse Deep Predictive Coding
LP (2015) "Sparse models" in Biologically Inspired Computer Vision

Ravello, LP, Escobar, Palacios (2019) Scientific Reports

Ravello, LP, Escobar, Palacios (2019) Scientific Reports

Ravello, LP, Escobar, Palacios (2019) Scientific Reports

Kremkow, LP, Monier, Alonso, Aertsen, Fregnac, Masson (2016) Push-pull receptive field organization and synaptic depression: Mechanisms for reliably encoding naturalistic stimuli in V1

Kremkow, LP, Monier, Alonso, Aertsen, Fregnac, Masson (2016) Push-pull receptive field organization and synaptic depression: Mechanisms for reliably encoding naturalistic stimuli in V1
LP (2015) "Sparse models" in Biologically Inspired Computer Vision

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Olshausen and Field (1997) Sparse coding with an overcomplete basis set: A strategy employed by V1?

Outline

  1. From the retina to action: Levels of modeling
  2. Sparse coding in Neurophysiology and neural processing
  3. Modeling Spiking Neural Networks

  4. A model of Sparse Deep Predictive Coding

Outline

  1. From the retina to action: Levels of modeling
  2. Sparse coding in Neurophysiology and neural processing
  3. Modeling Spiking Neural Networks
  4. A model of Sparse Deep Predictive Coding

LP (2010) Neural Computation

Boutin, Franciosini, Ruffier, LP (2019) submitted

(from http://cs231n.github.io/convolutional-networks/)

Boutin, Franciosini, Ruffier, LP (2019) submitted

Boutin, Franciosini, Ruffier, LP (2019) submitted

Boutin, Franciosini, Ruffier, LP (2019) submitted

Boutin, Franciosini, Ruffier, LP (2019) submitted

From the retina to action: Understanding visual processing

Laurent Perrinet

Licence Sciences & Humanité, 3/4/2019

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement n°713750. Also, it has been carried out with the financial support of the Regional Council of Provence-Alpes-Côte d'Azur and with the financial support of the A*MIDEX (n°ANR-11-IDEX-0001-02). This work was granted access to the HPC resources of Aix-Marseille Université financed by the project Equip@Meso (ANR-10-EQPX-29-01) of the program "Investissements d’Avenir".


https://laurentperrinet.github.io/talk/2019-04-03-a-course-on-vision-and-modelization